How to Use the UI/UX Excellence Prover MCP in OpenAI Agents SDK

Ensure perfect, human-respecting interfaces in production systems with OpenAI Agents SDK.

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Connect UI/UX Excellence Prover MCP to OpenAI Agents SDK

Create your Vinkius account to connect UI/UX Excellence Prover to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup UI/UX Excellence Prover with OpenAI Agents SDK

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Enforcing Design Hierarchy

The `validate_uiux_excellence` tool forces spatial depth by checking for semantic elevation levels (0-5) and Liquid Glass usage. It prevents 'flat decoration'—where everything looks equally important—by demanding distinct shadows and z-index layers across the interface. This goes way beyond basic contrast checks. The Prover ensures that critical alerts use a Level 5 designation, giving you measurable guardrails for what needs immediate attention in your deployed agent output.

Validating User Interaction Flows

The tool validates microinteraction completeness by enforcing eight states per interactive element. Instead of just checking if a button exists, it verifies the full lifecycle: default, hover, focus-visible, active/pressed, loading, success, error, and disabled. If your agent generates an interface that only has two states (default and clicked), the tool flags it immediately. This guarantees users get necessary feedback within 100ms of any interaction.

Guaranteeing Accessibility Standards

The `validate_uiux_excellence` checks for WCAG 2.2 AAA compliance, not just AA. It ensures every icon button has an explicit `aria-label` and that all images have meaningful alt text. It forces proper focus management across the board. Your agent's output must support full keyboard navigation, meaning users relying on Tab key or screen readers (like NVDA) experience the interface exactly as intended.

Setup guide

Set up UI/UX Excellence Prover MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all UI/UX Excellence Prover tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives UI/UX Excellence Prover tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate UI/UX Excellence Prover tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="UI/UX Excellence Prover Agent",
            instructions="You have access to UI/UX Excellence Prover tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about UI/UX Excellence Prover MCP in OpenAI Agents SDK

It forces your agents to use semantic depth and clear spatial hierarchy. The tool prevents designs that look flat or confusing, ensuring users can instantly tell which element is primary vs. secondary.

Absolutely. It mandates purposeful animation using spring physics and 60fps standards. Every movement must explain, guide, or confirm an action. If it's just for spectacle, the tool catches it.

This MCP Server processes Interface Design Artifacts (e.g., component specifications, interaction flows, visual hierarchy definitions). It validates how user data is presented and controlled within the agent's output.

Yes. The tool requires validating all eight states for any interactive element, making sure your agents handle every possible user interaction—from success to error—correctly.

It's designed to be deployed alongside your agent system. Your AI client calls the `validate_uiux_excellence` tool, and the results dictate whether the generated interface meets modern design standards.

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